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PDF version of Statistics (Medical Statistics) MSc

Contact details

Dr Russell Evans

Email: stats.pgt-admissions@ucl.ac.uk

Tel: +44 (0)20 7679 8311

Fees and funding

UK/EU 2014/15:

£8,500 (FT)

Overseas 2014/15:

£16,750 (FT)

Full details of funding opportunities can be found on the UCL Scholarships website

More information

Prospectus Entry

Statistical Science

Key facts

Research Assessment Rating

50% rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)

The programme information on this page relates to 2013 entry. 2014 content to appear here shortly. 

Statistics (Medical Statistics) MSc

Medical Statistics is a fundamental scientific component of health research. As new and more complex biomedical problems emerge, medical statistics faces a challenge in terms of both the novel application of existing methods and the development of new superior methods. New and exciting opportunities await the graduate who has gained the quantitative skills training provided by this MSc.

Degree summary

What will I learn?

The UCL Medical Statistics pathway provides students with a sound background in theoretical statistics as well as practical hands on experience in designing, analysing and interpreting health studies. The programme also provides opportunities to interact with the medical researchers working in the UCL Comprehensive Biomedical Research Centre and the UCL Clinical Trials Units.

Why should I study this degree at UCL?

One of the strengths of Statistical Science at UCL is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.

London provides an excellent environment in which to study statistical science, being the home of the Royal Statistical Society as well as a base for a large community of statisticians, both academic and non-academic.

The programme has been accredited by the Royal Statistical Society. Graduates will automatically be granted the Society's Graduate Statistician status on application to the Society.

See subject website for more information:

Degree structure

Availability: Full-time 1 year; Part-time 2 years

Students undertake modules to the value of 180 credits. The programme consists of a foundation course, seven core modules (105 credits) one option (15 credits) and the research dissertation (60 credits).

Core Modules

  • Foundation Course (not credit bearing)
  • Statistical Inference
  • Statistical Models and Data Analysis
  • Statistical Design of Investigations
  • Medical Statistics I
  • Medical Statistics II
  • Statistical Computing
  • Applied Bayesian Methods

Options

  • One of the following:
  • Statistics for Interpreting Genetic Data
  • Further Modelling with Applications in Health Research

Dissertation/report

All MSc students undertake an individual research project, culminating in a dissertation of 10,000–12,000 words. Workshops provide preparation for this project and run during the teaching terms, covering the communication of statistics e.g. the presentation of statistical graphs and tables.

Teaching and Learning

The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. External organisations deliver technical lectures and seminars where possible. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15 minute presentation.

Further details available on subject website:

Entry and application

Entry requirements

A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

For overseas equivalencies see the relevant country page.

How to apply

You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps

The deadline for applications is 14 March 2014. Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

Who can apply?

The programme is accessible to students with first degrees in a quantitative discipline, (such as mathematics, statistics, physics, chemistry, biology, computer science, engineering or economics) who wish to gain advanced training in medical statistical theory and applications to enable them to enter specialist employment or academic research.

What are we looking for?

When we assess your application we would like to learn:

  • why you want to study Statistics (Medical Statistics) at graduate level
  • why you want to study Statistics (Medical Statistics) at UCL
  • what particularly attracts you to this programme
  • how your academic background meets the demands of this programme
  • where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

Career

Medical statisticians enable the application of the best possible quantitative methods in health research and assist in the reliable translation of research findings to public and patients’ health care.

The Statistics (Medical Statistics) MSc is a relatively new programme with the first cohort of students graduating in 2012.

There is an acute shortage of medical statisticians in the UK and employment opportunities are excellent. Recent graduates from this programme have been employed by clinical trials units, pharmaceutical industry, NHS trusts and Universities (e.g. London School of Hygiene and Tropical Medicine, UCL).

Find out more about London graduates' careers by visiting the Careers Group (University of London) website:


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